Triple
T1511331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Metropolitan Wayne County Airport |
E32019
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | DTW |
E172408
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DTW | Statement: [Detroit Metropolitan Wayne County Airport, IATAcode, DTW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTW Context triple: [Detroit Metropolitan Wayne County Airport, IATAcode, DTW]
-
A.
DTW
chosen
DTW is the IATA airport code for Detroit Metropolitan Wayne County Airport, a major international hub serving the Detroit, Michigan metropolitan area.
-
B.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
C.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
D.
DME
DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
-
E.
DBDT
DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61db41c88190a2d97cc9cbbc3f06 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294805308190ada3ed69ec71ce43 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.